Azure Data Factory & Spark Data Engineer (w|m|d)
Core
Designing and implementing data flows and databases in the Azure Cloud, monitoring and expanding ETL and reporting solutions, and consulting on Data Pipelines and Data Transformations.
Role type
Senior Azure Data Engineer (Data Factory & Spark)
Builds
Data pipelines, data transformations, and reporting solutions for clients
Domain
Cloud data engineering (Azure)
Deliverable
production ML models | product features
Required skills
Azure Data Factory, Azure Databricks, Azure SQL DB, PySpark, Python, T-SQL, GitHub, data modeling, ETL lifecycle management
Preferred skills
Tableau, Power BI, Alteryx, KNIME, Azure Machine Learning, Azure Data Lake
Technologies
Azure Data Factory, Azure Databricks, Azure SQL DB, PySpark, Python, T-SQL, GitHub, Tableau, Power BI, Alteryx, KNIME, Azure Machine Learning, Azure Data Lake
Responsibilities
Design and implement data flows and databases in Azure Cloud; model data structures in Azure SQL DB; monitor, maintain, and expand existing ETL and reporting solutions; consult on and support development of Data Pipelines and Data Transformations; create test cases and align closely with clients
Seniority
Senior, hands-on IC